唐丹,王永进,张冠男.分式噪声驱动的一类随机偏微分方程的非参数估计}[J].数学年刊A辑,2013,34(5):627~642
分式噪声驱动的一类随机偏微分方程的非参数估计}
Nonparametric Inference for a Class of SPDEs Driven by Fractional Noises
  
DOI:
中文关键词:  分式噪声, 非参数统计, 随机偏微分方程
英文关键词:Fractional noise, Nonparametric inference, Stochastic partial differential equation
基金项目:国家自然科学基金 (No.11101083)和对外经济贸易大学学术创新团队资助项目(数量经济学理论与应用创新团队)(No.CXTD4-01)
Author NameAffiliationE-mail
TANG Dan School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China. dantangcn@gmail.com 
WANG Yongjin School of Business and School of Mathematical Sciences, Nankai University, Tianjin 300071, China. yjwang@nankai.edu.cn 
ZHANG Guannan School of Mathematical Sciences, Nankai University, Tianjin 300071, China. guan@mail.nankai.edu.cn 
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中文摘要:
      研究了一类由分式噪声所驱动的随机偏微分方程的统计推断. 先构造了偏微分算子时间 相依系数的非参数估计量, 然后得到了该估计在最大值范数下的收敛率和渐近正态性. 该收敛率 由系数的平滑参数和分式噪声的Hurst参数共同决定.
英文摘要:
      The nonparametric inference for a class of stochastic partial differential equations driven by fractional noises is investigated. The authors construct a non-parametric estimator of the time-dependent coefficient of the partial differential operator. The convergence in the sup-norm and asymptotic normality of the estimator are established. The rate of convergence is determined by both the smoothness of the coefficient and the Hurst parameter of the fractional noise.
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